Quantifying Patient Engagement in Total Joint Arthroplasty Using Digital Application-Based Technology

Clinical Utility and Patient Compliance With Mobile Applications for Home-Based Rehabilitation Following Transforaminal Lumbar Interbody Fusion

Study DesignRetrospective chart review.ObjectivesTransforaminal lumbar interbody fusion (TLIF) via open or minimally invasive (MI) techniques is commonly performed. Mobile applications for home-based therapy programs have grown in popularity. The purpose of this study was to (1) compare patient-reported outcome measures (PROMs) between postoperative patients who were the most and least compliant in using the mobile-based rehabilitation programs, (2) compare PROMs between open vs MI-TLIF cohorts, and (3) quantify overall compliance rates of home-based rehabilitation programs.MethodsA retrospective chart review was performed. Patients were automatically enrolled in the rehabilitation program. Patient-Reported Outcomes Measurement Information System (PROMIS) and Oswestry Disability Index (ODI) scores were collected. Patients were separated into two study groups. Compliance rate was calculated as the difference between the number of active participants at the preoperative phase and final follow-up.Results220 patients were included. Average follow-up time was 23.2 months. No difference was found in the change in (∆) PROMIS scores (P = 0.261) or ∆ODI scores (P = 0.690) regardless of patient compliance. No difference was found in outcome scores between open vs MI-TLIF techniques stratified by download compliance (downloaded, DL+; did not download, DL-) and phone reminder compliance (set reminder, R+; did not set reminder, R-) postoperatively. Both cohorts demonstrated clinical improvement exceeding minimal clinically important difference at final follow-up. Overall patient compliance was 71% at final postoperative follow up.ConclusionDespite high long-term compliance and rising popularity, mobile applications for home-based postoperative rehabilitation programs have low clinical utility in patients undergoing TLIF.

The CCJR® Gerard A. Engh Excellence in Knee Research Award: Patient-Reported Outcomes Collection and Mandatory Medicare Inpatient Total Knee Arthroplasty Patient-Reported Outcome Performance Measures: How to Optimize the Process

BACKGROUND

The Centers for Medicare and Medicaid Services (CMS) has mandated that patient-reported outcomes (PROs) reporting for total knee arthroplasty (TKA) start on July 1, 2024, which will impact reimbursement in 2028. The financial penalty for not reporting 50% of eligible patients is 25% of the Annual Payment Update (usually 2 to 4%). The CMS will evaluate for a substantial clinical benefit, defined as a 20-point increase in the Knee Injury and Osteoarthritis Outcome Score (KOOS JR) score. A final "risk-standardized improvement rate" will be calculated based on all risk variables and claims data submitted. The purpose of this study was to present our process for complying with these mandates.

METHODS

We employed a multiprong approach in a 12-hospital enterprise to collect PROs. We utilized a web-based PRO collection system embedded in our electronic medical record, a tablet in-person collection system in the clinic, and a patient engagement platform.

RESULTS

Since 2019, we enrolled 7,354 TKA patients in a patient engagement platform and 6,942 (94%) have opted in and used the platform. Percentages of PRO completion were 90% preoperatively, 80% at 3 months postoperatively, 76% at 6 months postoperatively, and 79% at 1 year postoperatively. Patient satisfaction scores averaged 4.51 out of five at 90 days. The KOOS JR. scores improved on average from 52.0 preoperatively to 74.9 in 1 year. Utilizing our web-based electronic medical record collection system in addition to the in-person tablet PRO collection achieved minimum collection performance.

CONCLUSIONS

Our study found that using a multiprong approach to comply with the Inpatient Prospective Payment System CMS Inpatient TKA-PRO Performance Measures will meet the minimum standards of 50% paired PROs reporting. Furthermore, our hospital system was able to meet the required substantial clinical benefit of 20 points on the KOOS JR and collect this information for reporting.

[Fast-track arthroplasty and patient apps]

BACKGROUND

Fast-track arthroplasty is on the rise in Germany. In comparison to established fast-track countries, such as Denmark and the USA, Germany is only at the beginning of its implementation. The biggest challenges include increasing staff shortages and cost pressure as, well as the slow progress of digitalization.

FIELDS OF APPLICATION

The use of app-based patient management systems offers the opportunity to prepare the patient extensively for the surgical procedure, to rehabilitate them according to a standardized schedule, to avoid unnecessary doctor's visits, to save staff and, thus, reduce healthcare costs. Patient apps will also play an important role in collecting patient data and abnormalities in rehabilitation. By correlating intraoperative data from robotics, predictive statements about the surgical strategy, such as implant positioning or axis alignment may be possible. In this review, the essential contents of an app-based patient management system for fast-track arthroplasty are listed and discussed, and the possibilities for using patient data are presented.

Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning

BACKGROUND

Attention to the collection of patient-reported outcomes measures (PROMs) associated with total hip arthroplasty (THA) is growing. The aim of this study was to preoperatively predict failure to achieve the minimal clinically important difference (MCID) and substantial clinical benefit (SCB) between pre- and postoperative PROMs. In addition, we sought to identify factors predictive of failure to achieve MCID and SCB in patients undergoing a THA.

METHODS

A retrospective query of the electronic health record data was performed at a single institution. Outcomes of interest were the anchor-based MCID, the distribution-based MCID, and the SCB for the Hip Disability and Osteoarthritis Outcome Score for Joint Replacement. Several machine learning models were built for each outcome and were evaluated by areas under the receiver operating characteristic curve and the precision-recall curve. Furthermore, logistic regression models were used to identify significant risk factors.

RESULTS

Of the 857 patients who underwent THA, 350 patients completed both pre- and postoperative surveys. Of the final sample (i.e., 350 patients), 56 (16.0%), 29 (8.3%), and 71 (20.3%) failed to reach the anchor-based (i.e., 17.7 points) and distribution-based (10.6 points) MCIDs and the SCB (i.e., 22.0 points). The machine learning model performances were far beyond the baseline and comparable to the ones in existing studies, suggesting reliability in the prediction. Two shared factors associated with the failure in both the MCIDs and the SCB were highlighted: a patient's race and pre-existing mental illness.

CONCLUSION

Understanding the risk factors of failing to meet MCID and SCB may provide a more objective opportunity to quantify patient and surgeon expectations associated with THA. Our findings call stakeholders' particular attention to patients with preoperative mental disorders, and raise further questions regarding the impact of race, in the care of patients with degenerative hip disease.

How to monitor and discriminate the causes of lower limb swelling during home-based rehabilitation after total knee arthroplasty? A delphi study

PURPOSE

Swelling in the lower limbs after total knee arthroplasty (TKA) affects surgical outcomes. Prolonged swelling requires monitoring and remote management during home-based rehabilitation. Causes of swelling vary but, so far, no indicators are available to monitor and identify causes of lower limb swelling, making it difficult to implement targeted interventions. This study aimed to find the indicators to monitor and identify the causes of lower limb swelling during home-based rehabilitation after TKA by literature research and consulting experts from various disciplines.

METHODS

The Delphi method was used. Based on literature research and analysis, a set of candidate indicators was developed. Fifteen experts from different disciplines evaluated the validity of the indicators and provided modification suggestions.

RESULTS

After two rounds of Delphi consultations, consensus was reached. Agreement scores ranged from 4.40 to 5.00, with low variability (standard deviation 0.00-0.91) and high consistency (coefficient of variation 0.00-0.20). P was less than 0.05 in Kendall's W with an agreement rate of 80.00-100%. In the final set of indicators, there were five primary indicators (representing four swelling causes and a general category), along with 23 secondary indicators and 40 tertiary indicators.

CONCLUSIONS

This study preliminarily established indicators for at-home identification of post-TKA swelling caused by four distinct reasons. Further research is needed to validate the value of these indicators in distinguishing the causes of swelling.

Platform-Based Patient-Clinician Digital Health Interventions for Care Transitions: Scoping Review

BACKGROUND

Care transitions are complex and can make patients vulnerable to adverse events. Poor communication among clinicians, patients, and their caregivers is a critical gap during these periods of transition. Technology solutions such as platform-based patient-clinician digital health interventions (DHIs) can provide support and education to patients.

OBJECTIVE

The aims of this scoping review were to explore the literature on platform-based patient-clinician DHIs specific to hospital-to-home care transitions and identify the barriers to and enablers of the uptake and implementation of these DHIs.

METHODS

A scoping review was conducted. A total of 4 databases (MEDLINE, CINAHL, Embase, and the Cochrane Central Register of Controlled Trials) were searched on July 13, 2022. Studies involving patients aged >18 years who used platform-based DHIs during their hospital-to-home transition were included. In total, 2 reviewers independently screened the articles for eligibility using a 2-stage process of title and abstract and full-text screening. Eligible studies underwent data extraction, and the results were analyzed using descriptive and narrative methods.

RESULTS

We screened 8322 articles, of which 97 (1.17%) met our inclusion criteria. DHIs were implemented using a mobile app (59/97, 61%), a web-based platform (28/97, 29%), or a combination of both (10/97, 10%). The 2 most common health conditions related to the DHIs were cardiac disease (22/97, 23%) and stroke (11/97, 11%). Outcomes varied greatly but were grouped by health care use, complications, and wellness outcomes. The top 2 barriers were lack of interest (13/97, 13%) and time constraints to use the DHIs (10/97, 10%), and the top 2 enablers were the ability to use the DHIs (17/97, 18%) and their ease of use (11/97, 11%). The main conflicting theme was access (enabler; 28/97, 29%) or limited access (barrier; 15/97, 15%) to technology or the internet.

CONCLUSIONS

Platform-based DHIs could help improve communication, coordination, and information sharing between clinicians and patients during transition periods. Further research is needed to assess the effectiveness of these platform-based DHIs on patient outcomes.

Enhancing recovery and reducing readmissions: The impact of remote monitoring on acute postoperative care in outpatient total joint arthroplasty

Introduction

Outpatient total joint arthroplasty (TJA) is gaining popularity in the United States. With a shift towards value-based healthcare and bundled payment models, the importance of safe discharge after TJA is pertinent in reducing readmissions and subsequent cost of care. However, many acute issues or complications may not occur until after discharge which can result in emergency department visits and readmission. Our study aims to characterize the effect of remote monitoring devices on acute postoperative recovery in TJA discharged within 24 h. We hypothesized there would be a decreased readmission rate in the remote home monitoring cohort.

Methods

This prospective cohort compared 50 outpatient TJAs (primary total hip and total knee replacements) defined as discharged within 24 h with a remote home monitoring device to 50 outpatient TJAs who did not receive remote monitoring. Demographics, hospital length of stay, American Society of Anesthesiology scores, and Charlson Comorbidity Index were compared with no significant difference observed between cohorts (p > 0.05). Patients' vital signs were transmitted to a virtual response center for up to 48 h after discharge. An on-call medical team reviewed the transmissions and if prompted, would contact the patient to troubleshoot and triage. Primary outcome was 30-day hospital readmissions rates, while 30-day ED visits and patient satisfaction scores for the remote home monitoring were measured as secondary outcomes.

Results

Within the remote monitoring cohort there was a 20 % incidence (10 patients) of abnormal vitals captured and 2 patients visited the ED, however there were no readmissions attributed to this group. Readmission rates and ED visits in the control non-monitored group were significantly higher at 12 % (p = 0.03), secondary to syncope, uncontrolled postoperative pain, cellulitis, hip dislocations, and postoperative fever. Of the patients who received remote monitoring, 14 % had trouble connecting the device to their smartphone, 44 % felt home monitoring helped in their care while recovering at home, 52 % made them feel safer, and 70 % would recommend this program.

Conclusions

Remote home monitoring with a virtual response team after outpatient TJA is a feasible way to mitigate readmissions in the acute postoperative period and increase patient satisfaction. Efforts to minimize costs should not be implemented at the expense of patients' health outcomes with a goal to find an appropriate balance between both agendas.

Level of evidence

Therapeutic Level III.

Clinical application of digital technology in the use of anterolateral thigh lobulated perforator flaps to repair complex soft tissue defects of the limbs

Background

It is challenging to repair wide or irregular defects with traditional skin flaps, and anterolateral thigh (ALT) lobulated perforator flaps are an ideal choice for such defects. However, there are many variations in perforators, so good preoperative planning is very important. This study attempted to explore the feasibility and clinical effect of digital technology in the use of ALT lobulated perforator flaps for repairing complex soft tissue defects in limbs.

Methods

Computed tomography angiography (CTA) was performed on 28 patients with complex soft tissue defects of the limbs, and the CTA data were imported into Mimics 20.0 software in DICOM format. According to the perforation condition of the lateral circumflex femoral artery and the size of the limb defect, one thigh that had two or more perforators from the same source vessel was selected for 3D reconstruction of the ALT lobulated perforator flap model. Mimics 20.0 software was used to visualize the vascular anatomy, virtual design and harvest of the flap before surgery. The intraoperative design and excision of the ALT lobulated perforator flap were guided by the preoperative digital design, and the actual anatomical observations and measurements were recorded.

Results

Digital reconstruction was successfully performed in all patients before surgery; this reconstruction dynamically displayed the anatomical structure of the flap vasculature and accurately guided the design and harvest of the flap during surgery. The parameters of the harvested flaps were consistent with the preoperative parameters. Postoperative complications occurred in 7 patients, but all flaps survived uneventfully. All of the donor sites were closed directly. All patients were followed up for 13-27 months (mean, 19.75 months). The color and texture of each flap were satisfactory and each donor site exhibited a linear scar.

Conclusions

Digital technology can effectively and precisely assist in the design and harvest of ALT lobulated perforator flaps, provide an effective approach for individualized evaluation and flap design and reduce the risk and difficulty of surgery.

A Smartphone Application-Based Remote Rehabilitation System for Post-Total Knee Arthroplasty Rehabilitation: A Randomized Controlled Trial

BACKGROUND

Remote rehabilitation after total knee arthroplasty has gradually gained popularity in recent years. This study aimed to determine whether smartphone application-based remote rehabilitation could outperform home-based rehabilitation and outpatient guidance in terms of 12-week outcomes following primary unilateral total knee arthroplasty.

METHODS

Patients who underwent primary unilateral total knee arthroplasty were recruited and randomly divided into a telerehabilitation group and a control group. A total of 100 patients were examined, with 50 each assigned to the telerehabilitation and control groups. In the telerehabilitation group, a telerehabilitation application was installed on the smartphones of the participants to allow postdischarge guidance. The primary outcomes were knee range of motion (ROM) at 12 weeks postoperatively. Secondary outcomes included the Western Ontario and McMaster Universities Osteoarthritis Index, Knee Society Score, The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36), Five Times Sit-to-Stand Test (5xSST), Single-Leg Stance Test (SLST), satisfaction, rehabilitation costs, complication rate, and 90-day readmission rate. All outcomes were collected at 2, 6, and 12 weeks after surgery.

RESULTS

At 12 weeks postoperatively, the telerehabilitation patients significantly outperformed the controls in terms of knee ROM (124 ± 8.7 versus 119 ± 5.5 P = .01), SF-36 (physiological function) (61.5 ± 20.3 versus 45.5 ± 18.1 P = .000), SF-36 (role-physical) (49.3 ± 41.5 versus 27.7 ± 28.9 P = .012), SLST (13.0 ± 9.1 versus 9.1 ± 5.9 P = .026), and 5xSST (17.7 ± 4.3 versus 19.4 ± 3.5 P = .043). No significant differences were found between groups in the Western Ontario and McMaster Universities Osteoarthritis Index score, Knee Society Score, rehabilitation costs, 90-day readmission rate, or incidence of adverse events.

CONCLUSION

Our study showed that smartphone app-based remote rehabilitation worked better than home-based rehabilitation with outpatient guidance in terms of short-term results in ROM, SLST, and 5xSST.

Mobile and Computer-Based Applications for Rehabilitation Monitoring and Self-Management After Knee Arthroplasty: Scoping Review

BACKGROUND

Successful post-knee replacement rehabilitation requires adequate access to health information, social support, and periodic monitoring by a health professional. Mobile health (mHealth) and computer-based technologies are used for rehabilitation and remote monitoring. The extent of technology use and its function in post-knee replacement rehabilitation care in low and middle-income settings are unknown.

OBJECTIVE

To inform future mHealth intervention development, we conducted a scoping review to map the features and functionality of existing technologies and determine users' perspectives on telerehabilitation and technology for self-management.

METHODS

We followed the Joanna Briggs Institute methodology for scoping reviews. We searched the Embase, Medline, PsycINFO via OVID, and Cochrane Central Register of Controlled Trials databases for manuscripts published from 2001 onward. We included original research articles reporting the use of mobile or computer-based technologies by patients, health care providers, researchers, or family members. Studies were divided into the following 3 categories based on the purpose: validation studies, clinical evaluation, and end user feedback. We extracted general information on study design, technology features, proposed function, and perspectives of health care providers and patients. The protocol for this review is accessible in the Open Science Framework.

RESULTS

Of the 5960 articles, 158 that reported from high-income settings contributed to the qualitative summary (64 studies on mHealth or telerehabilitation programs, 28 validation studies, 38 studies describing users' perceptions). The highest numbers of studies were from Europe or the United Kingdom and North America regarding the use of a mobile app with or without wearables and reported mainly in the last decade. No studies were from low and middle-income settings. The primary functions of technology for remote rehabilitation were education to aid recovery and enable regular, appropriate exercises; monitoring progress of pain (n=19), activity (n=20), and exercise adherence (n=30); 1 or 2-way communication with health care professionals to facilitate the continuum of care (n=51); and goal setting (n=23). Assessment of range of motion (n=16) and gait analysis (n=10) were the commonly validated technologies developed to incorporate into a future rehabilitation program. Few studies (n=14) reported end user involvement during the development stage. We summarized the reasons for satisfaction and dissatisfaction among users across various technologies.

CONCLUSIONS

Several existing mobile and computer-based technologies facilitate post-knee replacement rehabilitation care for patients and health care providers. However, they are limited to high-income settings and may not be extrapolated to low-income settings. A systematic needs assessment of patients undergoing knee replacement and health care providers involved in rehabilitation, involving end users at all stages of development and evaluation, with clear reporting of the development and clinical evaluation can make post-knee replacement rehabilitation care in resource-poor settings accessible and cost-effective.

Problems and Opportunities of a Smartphone-Based Care Management Platform: Application of the Wald Principles to a Survey-Based Analysis of Patients' Perception in a Pilot Center

(1) Background: Mobile health (mHealth) solutions can become a means of improving functional recovery and reducing the peri-operative burden and costs associated with arthroplasty procedures. The aim of this study is to explore the objectives, functionalities, and outcomes of a platform designed to provide personalized surgical experiences to qualified patients, along with the associated problems and opportunities. (2) Methods: A survey-based analysis was conducted on patients who were prescribed the use of a specific care management platform and underwent primary robotic total knee arthroplasty (rTKA) between January 2021 and February 2023. (3) Results: Patients registered on the platform who have undergone primary robotic TKA (rTKA) were considered. The mean age of registered patients is 68.6 years. The male (M)/female (F) ratio is 45.1%/54.9%. The patients interviewed were at an average distance of 485 days from the intervention, with a standard deviation of 187.5. The survey highlighted appreciation for the app and its features, but also limitations in its use and in its perception by the patients. All these data were evaluated according to the Wald principles and strategies to improve patient recruitment, enhance adherence, and create a comprehensive patient journey for optimized surgical experiences. (4) Conclusions: This patient care platform may have the potential to impact surgical experiences by increasing patient engagement, facilitating remote monitoring, and providing personalized care. There is a need to emphasize the importance of integrating the recruiting process, improving adherence strategies, and creating a comprehensive patient journey within the platform.

Interaction between functional capability and sleep quality at midterm after total knee arthroplasty: a Japanese retrospective cohort study

No report has clarified the frequency and interacting factors affecting sleep disturbance among Asian patients at midterm after total knee arthroplasty (TKA). This study aimed to evaluate the frequency of sleep disturbance at midterm after TKA in a Japanese cohort and to identify intervening factors for sleep. We hypothesized that residual knee pain and decreased functional capability negatively interact with sleep quality after TKA. A total of 209 Japanese participants (average age: 77.1 ± 8.3 years; postoperative follow-up period: 4.5 ± 1.9 years) who underwent primary TKA for knee osteoarthritis were included in this study. Sleep quality, satisfaction, pain, functional capability, joint awareness, and mental condition were evaluated using the Pittsburgh Sleep Quality Index (PSQI), Knee Society Score (KSS) 2011, Forgotten Joint Score (FJS)-12, and 12-Item Short-Form Health Survey (SF-12) Mental Component Summary (MCS). Multivariable analysis was performed to determine the influencing factors on PSQI. The scores for the PSQI, satisfaction with pain level while lying in bed, pain during level walking, functional activity category in the KSS 2011, awareness of the artificial joint in bed at night in the FJS-12, and SF-12 MCS were 6.7 ± 3.0, 5.8 ± 1.8, 1.6 ± 2.3, 62 ± 22, 1.5 ± 1.4, and 56 ± 9.3 on average, respectively. Sleep disturbance (PSQI ≥ 5.5) occurred in 54% of the Japanese participants. Multivariable analysis revealed that high functional capability was a significant factor associated with sleep quality improvement (p < 0.05). Decreased functional capability, not residual knee pain, negatively interacted with sleep quality. The sleep disturbance rate was high during the middle postoperative period after TKA in the Japanese cohort.

Patient Perceptions of Wearable and Smartphone Technologies for Remote Outcome Monitoring in Total Knee Arthroplasties

While there is enthusiasm for wearables and smartphone technologies in evaluating clinical outcomes among clinicians, less is known about the willingness of patients who have osteoarthritis (OA) to consent for remote outcome monitoring. We developed an Institutional Review Board-approved questionnaire to assess patient perceptions of remote monitoring technologies in a high-volume orthopaedic clinical center. Fifty total knee arthroplasty (TKA) patients (56% female; mean age: 61 years, range: 23-89) and fifty nonoperative OA knee patients (54% female; mean age: 58 years, range: 25-89) routinely consulted in the clinic as part of their OA treatment and consented to participate in the study. Patient perceptions were compared using Pearson's chi-square analyses with a significance threshold of p < 0.05. We found that TKA patients were more receptive to the use of smartphone apps (84 vs. 60%, p = 0.008) and wearable sensors (80 vs. 48%, p < 0.001) and learning to use custom wearables (72 vs. 38%, p = 0.002) than nonoperative OA knee patients as part of their treatment. Likewise, the majority of TKA patients were willing to use the global positioning system in their postoperative technology (54 vs. 18%, p < 0.001), especially if they were only active during certain circumstances (62 vs. 24%, p < 0.001). TKA patients also expressed willingness to have their body movement (68%), balance (70%), sleep (76%), and cardiac output (80%) tracked using remote technologies. Overall, we found that TKA patients were highly receptive to using wearable technology in their treatments, whereas nonoperative OA knee patients were generally unreceptive. Our study challenges the concept that current wearable technology approaches will be generally effective as a tool to remotely monitor all patients across the OA severity landscape.

The Differential Effect of COVID on Total Joint Arthroplasty Between Hospital and Ambulatory Surgery Centers/Hospital Outpatient Departments: A Michigan Arthroplasty Registry Collaborative Quality Initiative Analysis

Background

Coronavirus disease (COVID) created unprecedented challenges, especially for high-volume elective subspecialties like total joint arthroplasty. Limited inpatient capacity and resource conservation led to new outpatient selection criteria and site of service changes. As a Michigan Arthroplasty Registry Quality Collaborative Initiative quality project, demographic changes, complications, and differential effects on inpatient vs outpatient centers pre- and post-COVID were analyzed.

Methods

The registry identified all total joint arthroplasty at hospitals and ASCs/HOPDs between 07/2019-12/2019 and 07/2020-12/2020. These intervals represented pre-COVID and post-COVID elective surgery shutdowns. Case volumes, demographics, and 90-day complications were compared.

Results

Comparing 2020 to 2019, hospital volumes decreased (-9% total hip arthroplasty [THA], -17% total knee arthroplasty [TKA]), and ambulatory surgery center (ASC)/hospital outpatient department (HOPD) increased (+84% THA, +125% TKA). Entering 2020, ASC/HOPD patients were older (P = .0031, P < .0001: THA, TKA), had more American Society of Anesthesiologists score 3-4 (P = .0105, P = .0021), fewer attended joint class (P < .0001, P < .0001), and more hips were women (P = .023). Hospital patients had higher preoperative pain scores (P = .0117, P < .0001; THA, TKA), less joint education attendance (P < .0001, P < .0001), younger TKAs (P = .0169), and more American Society of Anesthesiologists score 3-4 (0.0009). After propensity matching, there were no significant differences between site of service for 90-day fractures, deep vein thromboses or pulmonary embolisms, infection, or hip dislocations. Hospital THAs had higher readmissions (P = .0003) and TKAs had higher 30-day emergency department visits (P = .005). ASC/HOPD patients were prescribed higher oral morphine equivalents (P < .0001, P < .0001; THA, TKA).

Conclusions

COVID's elective surgery shutdown caused a dramatic site of service shift. Traditional preoperative education was negatively impacted, and older and sicker patients became outpatients. But short-term complications were not increased in ASCs/HOPDs. These site of service and associated patient demographic changes may be safely sustained.

Accuracy of a Smartphone Software Application Compared With a Handheld Goniometer for Measuring Shoulder Range of Motion in Asymptomatic Adults

Background

Typically, shoulder range of motion (ROM) measurements are performed in a clinic setting, where physicians, physical therapists (PTs), and occupational therapists make use of a goniometer.

Purpose

To determine the accuracy of a smartphone-based ROM software application (app) in assessing active shoulder ROM and compare the measurements with traditional goniometry as measured by a PT.

Study Design

Cohort study (diagnosis); Level of evidence, 2.

Methods

This prospective, nonblinded study was conducted at a single institution with adult asymptomatic participants with full active ROM of both shoulders. Participants were enrolled between June 1 and 15, 2021. Each participant self-assessed their active shoulder ROM using the PeerWell smartphone app. A single PT concurrently measured each participant's active shoulder ROM using a handheld universal goniometer. Bilateral shoulder ROM (forward flexion, abduction [AB], external rotation, internal rotation [IR], and extension) was measured 2 times for each participant. Interrater reliability between the smartphone app and PT measurements as well as intrarater reliability for each method of measurement were assessed using the intraclass correlation coefficient (ICC), and limits of agreement were analyzed for the difference in measurement methods.

Results

Data were analyzed for 60 shoulders (30 right, 30 left) from 30 participants (mean age, 31.4 ± 11.7 years; 73% female). The interrater reliability between the 2 methods was excellent for all movements (ICCs, 0.90-0.96). For all movements except shoulder AB, the mean difference in the measurements between the 2 methods was <1.3°; the mean difference in AB ROM was 2.08°. For all movements except IR, both PTs and the app showed excellent intrarater reliability (ICCs >0.90); for IR, good intrarater reliability (ICC ≥0.75) was observed.

Conclusion

The PeerWell smartphone app provided measurements comparable with manual measurements taken by a PT using a goniometer. These data provide evidence that the smartphone app is a reliable and valid tool for measuring shoulder ROM and show promise for measuring and monitoring patient ROM remotely.

Remote Patient Monitoring Following Total Joint Arthroplasty

This review article presents the current state of remote patient monitoring (RPM) in total joint arthroplasty. RPM refers to the use of telecommunication with wearable and implantable technology to assess and treat patients. Several forms of RPM are discussed including telemedicine, patient engagement platforms, wearable devices, and implantable devices. The benefits to patients and physicians are discussed in the context of postoperative monitoring. Insurance coverage and reimbursement of these technologies are reviewed.

A Home-Based, Remote-Clinician-Controlled, Physical Therapy Device Leads to Superior Outcomes When Compared to Standard Physical Therapy for Rehabilitation After Total Knee Arthroplasty

BACKGROUND

The optimal postoperative rehabilitation regimen following total knee arthroplasty (TKA) is not clearly defined. The advent of telerehabilitation offers potential for increased patient convenience and decreased cost, while maintaining similar outcomes to traditional physical therapy (PT). Therefore, we evaluated a novel, home-based, clinician-controlled, multi-modal evaluation and therapy device with telerehabilitation functionality for TKA.

METHODS

A total of 135 consecutive TKA patients receiving standard therapy protocol (STP) were compared to 135 consecutive patients receiving a home-based clinician-controlled therapy system (HCTS). Outcomes were assessed at 2, 6, and 12 weeks, including visual analog scale (VAS) for pain, knee injury and osteoarthritis outcome score JR (KOOS JR), and knee range of motion (ROM) measured by the same certified physical therapists.

RESULTS

Postoperative knee ROM was greater in the HCTS group at all time points throughout the study period (P < .001 at 2, 6, and 12 weeks). VAS and the KOOS JR functional scores were statistically better (P < .001) in the HCTS group at all time points and exceeded the threshold for minimal clinically important difference (MCID) for both VAS and KOOS JR. There were significantly fewer cases of arthrofibrosis requiring manipulation under anesthesia (MUA) in the HCTS group (1.48 versus 4.44%).

CONCLUSION

Following TKA, a novel, home-based, clinician-controlled, multi-modal therapy device was superior to standard PTduring the first 12 weeks postoperatively for ROM, KOOS JR, and VAS (with all scores exceeding the MCID) and had substantially fewer manipulations for arthrofibrosis.

Barriers to Discharge After Hip Reconstruction Surgery in Non-ambulatory Children With Neurological Complex Chronic Conditions

BACKGROUND

Hip reconstruction surgery in patients with neurological complex chronic conditions (CCC) is associated with prolonged hospitalization and extensive resource utilization. This population is vulnerable to cognitive, developmental, and medical comorbidities which can increase length of stay (LOS). The aims of this study were to characterize barriers to discharge for a cohort of children with neurological CCC undergoing hip reconstruction surgery and to identify patient risk factors for prolonged hospitalization and delayed discharge.

METHODS

Retrospective chart review of nonambulatory patients with neurological CCC undergoing hip reconstruction surgery between 2007-2016 was conducted. Hospitalization ≥1 day past medical clearance was characterized as delayed discharge. Barriers were defined as unresolved issues at the time of medical clearance and categorized as pertaining to the caregiver and patient education, durable medical equipment, postdischarge transportation/placement, and patient care needs.

RESULTS

The cohort of 116 patients was 53% male, 16% non-English speaking, and 49% Gross Motor Function Classification System (GMFCS) V with the mean age at surgery of 9.1±3.64 years. Median time from admission to medical clearance was 5 days with median LOS of 6 days. Approximately three-quarters of patients experienced delayed discharge (73%) with barriers identified for 74% of delays. Most prevalent barriers involved education (30%) and durable medical equipment (29%). Postdischarge transportation and placement accounted for 26% of barriers and 3.5 times longer delays ( P <0.001). Factors associated with delayed discharge included increased medical comorbidities ( P <0.05) and GMFCS V ( P <0.001). Longer LOS and medical clearance times were found for female ( P =0.005), older age ( P <0.001), bilateral surgery ( P =0.009), GMFCS V ( P =0.003), and non-English-speaking patients ( P <0.001).

CONCLUSIONS

Patients with neurological CCC frequently encounter postoperative barriers contributing to increased LOS and delayed discharge. Patients that may be at higher risk for prolonged hospitalization and greater resource utilization include those who are female sex, adolescent, GMFCS V, non-English speaking, have additional comorbidities, and are undergoing bilateral surgery. Standardized preoperative assessment of educational needs, perioperative equipment requirements, and posthospital transportation may decrease the LOS, reduce caregiver and patient burden/distress, cost, and ultimately reduce variation in care delivery.

LEVEL OF EVIDENCE

Level III, Retrospective Case Series.

Patient Perceptions of Wearable and Smartphone Technologies for Remote Outcome Monitoring in Patients Who Have Hip Osteoarthritis or Arthroplasties

BACKGROUND

Although there is interest in wearables and smartphone technologies for remote outcome monitoring, little is known regarding the willingness of hip osteoarthritis (OA) and/or total hip arthroplasty (THA) patients to authorize and adhere to such treatment.

METHODS

We developed an Institutional Review Board-approved questionnaire to evaluate patient perceptions of remote monitoring technologies in a high-volume orthopedic center. Forty-seven THA patients (60% female; mean age: 66 years) and 50 nonoperative OA hip patients (52% female; mean age: 63 years) participated. Patient perceptions were compared using Pearson's chi-squared analyses.

RESULTS

THA patients were similarly interested in the use of smartphone apps (91% vs 94%, P = .695) in comparison to nonoperative hip OA patients. THA patients were more receptive to using wearable sensors (94% vs 44%, P < .001) relative to their nonoperative counterparts. THA patients also expressed stronger interest in learning to use custom wearables (87% vs 32%, P < .001) vs nonoperative patients. Likewise, the majority of THA patients were willing to use Global Positioning System technology (74% vs 26%, P < .001). THA patients also expressed willingness to have their body movement (89%), balance (89%), sleep (87%), and cardiac output (91%) tracked using remote technology.

CONCLUSION

Overall, we found that THA patients were highly receptive to using wearable technology in their treatments. Nonoperative OA hip patients were generally unreceptive to using smart technologies, with the exception of smartphone applications. This information may be useful as utilization of these technologies for patient care continues to evolve.

Process of Posthospital Care Involving Telemedicine Solutions for Patients after Total Hip Arthroplasty

The importance of telemedicine technologies around the world has been growing for many years, and it turned out to be a particularly important issue for conducting some medical procedures during the SARS-CoV-2 pandemic. It is necessary to create interdisciplinary teams to design and implement improved procedures using telemedicine tools. The aim of the article is to develop original, improved posthospital patient care process after total hip arthroplasty (THA) with the use of telemedicine technologies. In the study, a literature review and empirical research were used. The conducted research resulted in the designing an original posthospital patient care process after THA that uses telematics technologies. Due to the use of analyzed telemedicine technologies, the designed patient care process brings a possibility to increase the patient's safety by monitoring life parameters, allowing for regular, remote contact with specialists and to be supervised remotely. All this may contribute to shortening the convalescence time, reducing the risk of complications, as well as reducing treatment costs. The designed model is ready for further clinical research with the participation of medical staff, patients after THA and patient caregivers.